Can I run chandra-ocr-2 on a Mac with 64 GB?

Yes

Its published weights (10.6 GB) fit in the 48.0 GB a Mac with 64 GB can use, with room for ≈ 256K tokens of context.

Full analysis of chandra-ocr-2 Everything that runs on Mac with 64 GB Get the weights on Hugging Face

hf download datalab-to/chandra-ocr-2

Files and context on Mac with 64 GB

Each file of chandra-ocr-2 (and of GGUF versions the site has analyzed), and how much context fits next to it, with the context cache in 16-bit or 8-bit.

File	Size	On Mac with 64 GB	Context (16-bit)	Context (8-bit)
As published	10.6 GB	Fits	256K	256K
4-bit (estimate)	2.98 GB	Fits	256K	256K

chandra-ocr-2 on other hardware

NVIDIA H100Yes
RTX 5090Yes
RTX 4090Yes
RTX 3090Yes
RTX 5060 Ti 16 GBYes
RTX 3060 12 GBYes, just
RTX 4060Probably, at 4-bit
Mac with 32 GBYes
Mac with 64 GBYes
Mac with 128 GBYes

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Assumes 75% of the Mac's memory is usable (macOS's default limit for the GPU; it can be raised) and at least 4K tokens of context for one conversation, with the context cache in 16-bit unless noted. Fits leaves at least 20% of that memory for context; Tight leaves less.